An Intelligent Tutoring System Tool Combining Machine Learning and Gamification in Education

Pietro, Riccardo Di; Distefano, Salvatore

doi:10.1007/978-3-030-29852-4_18

Cited by 4 publications

(4 citation statements)

References 12 publications

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“…The third challenge facing modern education systems is that of providing and improving intelligent tutoring systems (Di Pietro and Distefano, 2019). For example, Troussas et al (2018) proposed an intelligent tutoring system to teach English and French languages using ML-based models.…”

Section: Challenge Descriptionmentioning

confidence: 99%

“…Di Pietro and Distefano (2019) combined the concepts of ML and gamification with cloud technologies in a unified framework to improve intelligent tutoring systems. More specifically, the authors proposed the use of different ML models such as optical character recognition, sentiment analysis, and speech recognition to create a virtual study buddy.…”

Section: Previous Workmentioning

confidence: 99%

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Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities

Injadat,

Moubayed,

Nassif

et al. 2021

Preprint

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The emergence and continued reliance on the Internet and related technologies has resulted in the generation of large amounts of data that can be made available for analyses. However, humans do not possess the cognitive capabilities to understand such large amounts of data. Machine learning (ML) provides a mechanism for humans to process large amounts of data, gain insights about the behavior of the data, and make more informed decision based on the resulting analysis. ML has applications in various fields. This review focuses on some of the fields and applications such as education, healthcare, network security, banking and finance, and social media. Within these fields, there are multiple unique challenges that exist. However, ML can provide solutions to these challenges, as well as create further research opportunities. Accordingly, this work surveys some of the challenges facing the aforementioned fields and presents some of the previous literature works that tackled them. Moreover, it suggests several research opportunities that benefit from the use of ML to address these challenges.

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Section: Challenge Descriptionmentioning

confidence: 99%

Section: Previous Workmentioning

confidence: 99%

Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities

Injadat,

Moubayed,

Nassif

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Prior studies e.g., (Çeker & Özdamli, 2017;Shpolianskaya & Seredkina, 2020) have shown that students' groups that utilize gamification apps perform academically better than those groups that do not use it. Since the inception of gamification in the last decade, Di Pietro and Distefano (2019) and Gul and Bilgin (2020) argued that the technology is increasingly receiving the attention of academics and other practitioners. The main idea behind gamification rudiments usage in Schooling is to move the fun aspect of audio-visual games to non-game surroundings.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, Antonaci et al (2019) stressed that there is absence of clear understanding of the main effects of gamification apps on "students, tutors and learning process in general". Hence, the need for both exploratory and experimental studies to further assess the motivational effects of gamification apps in Education, as the former technique will assist in getting more ideas on how the process takes place (Di Pietro & Distefano, 2019), while the later will offer exhaustive opinion on how certain individuals' emotional needs fulfilment develops through the implementation of various "gamification apps" (Toda et al, 2019). Therefore, this study will systematically review current literatures that are related to gamification apps, with the aims of identifying the benefits/importance of motivation, motivational effects of gamification apps on teaching and learning, and suggest how gamification apps can be linked with other variables such as individuals' psychological needs.…”

Section: Introductionmentioning

confidence: 99%

Motivational Effects of Gamification Apps in Education: A Systematic Literature Review

Mohammed

Özdamlı²

2021

BRAIN

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Gamification is considered by many scholars to be an effective tool for engaging individuals in teaching and learning process, organizational task, business environment, and other recreational activities. However, some students and tutors of various institutions of learning across the globe lack clear understanding on how gamification applications positively affect teaching and learning via intrinsic and extrinsic motivations. Despites all its potential benefits as suggested by prior literatures with regards to flexibility and externalization of learning process, yet some colleges and universities are not fully convinced that use of gamification elements motivate students to engage more on their learning activities which in turns change attitudes and behaviours. Hence, the need for study to extract these motivational effects of gamifications applications from the existing body of knowledge. Therefore, this study utilized some of the comprehensive databases such as ScienceDirect, Web of science, IEEE Xplore, and SpringerLink, with the aims of identifying, extracting, analyzing and highlighting the motivational effects of gamification systems in education. Out of the articles discovered, 37 were fully read and analyzed. The study results highlight the motivational effects of gamification applications in education, and found badges, levels, feedbacks, points, and leader-board to be the most pleasant elements of gamification applications that motivate individuals, as they increase participation and engagement in learning process. Finally, the study suggests area of future work.

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Machine learning towards intelligent systems: applications, challenges, and opportunities

et al. 2021

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An Intelligent Tutoring System Tool Combining Machine Learning and Gamification in Education

Cited by 4 publications

References 12 publications

Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities

Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities

Motivational Effects of Gamification Apps in Education: A Systematic Literature Review

Machine learning towards intelligent systems: applications, challenges, and opportunities

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